By Robert A. Gitzen, Joshua J. Millspaugh, Andrew B. Cooper, Daniel S. Licht
To supply precious and significant info, long term ecological courses have to enforce strong and effective statistical methods for amassing and examining facts. This quantity offers rigorous counsel on quantitative matters in tracking, with contributions from international specialists within the box. those specialists have vast adventure in instructing basic and complex rules and techniques to usual source managers, scientists, and scholars. The chapters current a number of instruments and techniques, together with specified insurance of variance part estimation and quantitative choice between substitute designs; spatially balanced sampling; sampling recommendations integrating layout- and model-based ways; and complicated analytical techniques akin to hierarchical and structural equation modelling. Making those instruments extra obtainable to ecologists and different tracking practitioners throughout a number of disciplines, this can be a useful source for any specialist whose paintings offers with ecological tracking. Supplementary instance software program code is on the market on-line at www.cambridge.org/9780521191548.
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Additional info for Design and Analysis of Long-term Ecological Monitoring Studies
The term “quantitative ecologist” no longer applies only to highly advanced theoreticians, but encompasses a broader range of ecologists, including many serving as a bridge between statistical experts and other scientists and managers, and many who are routinely 12 Robert A. Gitzen and Joshua J. Millspaugh extending and tailoring statistical methodology as part of their primary focus on scientific and applied management questions. At the same time, it is easy to overestimate the percentage of current or future ecological practitioners whose jobs will require the quantitative interest and statisticalsoftware skills needed even to mis-apply advanced methods.
Adequate consideration of quantitative issues does not rule out the need for some professional judgments, but rather leads to reduced unnecessary use of subjective judgments and greater use of structured scientific thinking, numerical evidence, and available statistical guidance. Later in the chapter we suggest some general criteria for assessing whether a monitoring study is likely to have adequately addressed quantitative issues. Our emphasis in this chapter is on quantitative issues, but by no means are we implying that quantitative issues on their own determine the success or failure of a program, or that other factors have not been just as important in driving many past programs to failure (Noon 2003, Lindenmayer and Likens 2010a).
2011). g. Thompson et al. 1998, Elzinga et al. 2001, de Gruijter et al. 2006, Lindenmayer and Likens 2010a, McComb et al. 2010). Yet, despite this high interest in monitoring and increased understanding of the importance of design and analytical considerations, there have been no broad syntheses addressing these key methodological issues. g. spatially balanced sampling, hierarchical modeling, structural equation modeling, modeling threshold changes; see subsequent chapters), and providing advanced and extensive coverage of both design and analysis of complex monitoring studies.